Research on Damage Analysis of Key Parts of UAV Flight Control System

TL;DR

This paper proposes a hardware-in-the-loop simulation method for fault detection and damage analysis in UAV flight control systems, validated with real flight data and fault injection experiments.

Contribution

It introduces a novel simulation approach combining UAV models and fault injection to analyze fault effects and development trends in UAV components.

Findings

Fault data can be generated through simulation and real flight data validation.

Fault characteristics are identifiable and can be used for damage assessment.

The method supports precise fault diagnosis and performance evaluation.

Abstract

A set of hardware in the loop simulation methods based on the UAV model is proposed to create fault data, which is used to judge the parts where faults happen. Actual flight experimental data is utilized to prove the reliability of Simulink models. Then a series of typical faults with various amplitudes are injected into different channels of UAV parts in hardware in the loop simulation platform. Fault data is created this way, and the effect on UAV flight and task/control can be obtained through damage analysis. Typical fault characters are extracted, and those parts that have faults can be analyzed and judged. We can also know the trend that faults will develop and conclude the reasons for faults based on exterior performance, which supports precise attack and performance evaluation techniques.